Lau Brian C, Thuillier Daniel U, Pedoia Valentina, Chen Ellison Y, Zhang Zhihong, Feeley Brian T, Souza Richard B
UCSF Department of Orthopaedic Surgery, United States.
UCSF Department of Orthopaedic Surgery, United States.
Knee. 2016 Jan;23(1):13-9. doi: 10.1016/j.knee.2015.08.017. Epub 2015 Dec 31.
Patellar maltracking is a leading cause of patellofemoral pain syndrome (PFPS). The aim of this study was to determine the inter- and intra-rater reliability of a semi-automated program for magnetic resonance imaging (MRI) based patellofemoral kinematics.
Sixteen subjects (10 with PFPS [mean age 32.3; SD 5.2; eight females] and six controls without PFPS 19 [mean age 28.6; SD 2.8; three females]) participated in the study. One set of T2-weighted, fat-saturated fast spin-echo (FSE) MRIs were acquired from each subject in full extension and 30° of knee flexion. MRI including axial T1ρ relaxation time mapping sequences was also performed on each knee. Following image acquisitions, regions of interest for kinematic MRI, and patellar and trochlear cartilage were segmented and quantified with in-house designed spline- based MATLAB semi-automated software.
Intraclass Correlations Coefficients (ICC) of calculated kinematic parameters were good to excellent, ICC > 0.8 in patellar flexion, rotation, tilt, and translation (anterior -posterior, medial -lateral, and superior -inferior), and contact area translation. Only patellar tilt in the flexed position and motion from extended to flexed state was significantly different between PFPS and control patients (p=0.002 and p=0.006, respectively). No significant correlations were identified between patellofemoral kinematics and contact area with T1ρ relaxation times.
A semi-automated, spline-based kinematic MRI technique for patellofemoral kinematic and contact area quantification is highly reproducible with the potential to help better understand the role of patellofemoral maltracking in PFPS and other knee disorders.
Level IV.
髌骨轨迹异常是髌股关节疼痛综合征(PFPS)的主要原因。本研究的目的是确定基于磁共振成像(MRI)的髌股关节运动学半自动程序的评分者间和评分者内信度。
16名受试者(10名PFPS患者[平均年龄32.3岁;标准差5.2;8名女性]和6名无PFPS的对照者[平均年龄28.6岁;标准差2.8;3名女性])参与了本研究。从每位受试者获取一组在膝关节完全伸展和屈曲30°时的T2加权、脂肪抑制快速自旋回波(FSE)MRI。还对每个膝关节进行了包括轴向T1ρ弛豫时间映射序列的MRI检查。图像采集后,使用内部设计的基于样条的MATLAB半自动软件对运动学MRI以及髌骨和滑车软骨的感兴趣区域进行分割和量化。
计算出的运动学参数的组内相关系数(ICC)良好至优秀,髌骨屈曲、旋转、倾斜和平移(前后、内外侧和上下)以及接触面积平移的ICC>0.8。PFPS患者和对照患者之间仅在屈曲位置的髌骨倾斜以及从伸展状态到屈曲状态的运动存在显著差异(分别为p = 0.002和p = 0.006)。髌股关节运动学与T1ρ弛豫时间的接触面积之间未发现显著相关性。
一种基于样条的髌股关节运动学和接触面积量化的半自动运动学MRI技术具有高度可重复性,有可能有助于更好地理解髌股关节轨迹异常在PFPS和其他膝关节疾病中的作用。
IV级。